Distributed search is the foundation for Apache Solr Scalability : It’s possible to distributed search across different Apache Solr nodes of the same collection ( both in a legacy[1] or SolrCloud[2] architecture), but it is also possible to distribute search across different collections in a SolrCloud cluster. Aggregating results from different collections may be useful…
Last Stage Of The Journey This blog post is about the Apache Solr Learning To Rank ( LTR ) integration. We modelled our dataset, we collected the data and refined it in Part 1 . Trained the model in Part 2 . Analysed and evaluate the model and training set in Part 3 . We…
Apache Solr Learning to Rank – Things Get Serious This blog post is about the Apache Solr Learning to Rank Tools : a set of tools to ease the utilisation of the Apache Solr Learning To Rank integration. The model has been trained in Part 2, we are ready to deploy it to Solr, but…
Model Training For Apache Solr Learning To Rank If you want to train a model for Apache Solr Learning To Rank , you are in the right place. This blog post is about the model training phase for the Apache Solr Learning To Rank integration. We modelled our dataset, we collected the data and refined it…
Learning To Rank In Apache Solr Introduction This blog post is about the journey necessary to bring Learning To Rank In Apache Solr search engines. Learning to Rank[1] is the application of Machine Learning in the construction of ranking models for Information Retrieval systems. Introducing supervised learning from user behaviour and signals can improve the relevancy…
Introduction This blog post is about the Lucene Inverted Index and how Apache Solr internally works. When playing with Solr systems, understanding and properly configuring the underline Lucene Index is fundamental to deeply control your search. With a better knowledge of how the index looks like and how each component is used, you…
This blog post is about the Apache Solr Autocomplete feature. It is clear that the current documentation available on the wiki is not enough to fully understand the Solr Suggester : this blog post will describe all the available implementations with examples and tricks and tips. Introduction If there’s one thing that months of Solr-user…
Introduction This blog post is about the Solr classification module and the way Lucene classification has been integrated at indexing time. In the previous blog [1] we have explored the world of Lucene Classification and the extension to use it for Document Classification . It comes natural to integrate Solr with the Classification module and…
Introduction This blog post describes the approach used in the Lucene Classification module to adapt text classification to document ( multi field ) classification. Machine Learning and Search have been always strictly associated. Machine Learning can help to improve the Search Experience in a lot of ways, extracting more information from the corpus of documents,…